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[GH-ISSUE #14960] issue: Problem with qdrant vector store integration #56086
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Originally created by @richardosborne14 on GitHub (Jun 13, 2025).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/14960
Originally assigned to: @jackthgu on GitHub.
Check Existing Issues
Installation Method
Docker
Open WebUI Version
v0.6.14
Ollama Version (if applicable)
No response
Operating System
Azure Web App (docker compose)
Browser (if applicable)
No response
Confirmation
README.md.Expected Behavior
Adding a document to a knowledge collection embeds and uploads to the vector store with multitenancy behaviour
Actual Behavior
UI throws error
400: Unexpected Response: 400 (Bad Request) Raw response content: b'{"status":{"error":"Bad request: Index required but not found for \\"metadata.file_id\\" of one of the following types: [uuid, keyword]. Help: Create an index for this key or use a different filter." ...'Steps to Reproduce
Logs & Screenshots
Console logs:
"400: Unexpected Response: 400 (Bad Request) Raw response content: b'{"status":{"error":"Bad request: Index required but not found for \\"metadata.file_id\\" of one of the following types: [uuid, keyword]. Help: Create an index for this key or use a different filter." ...'"Full docker compose config:
`version: '3'
services:
open-webui-deepinfra:
image: ghcr.io/open-webui/open-webui:0.6.14
container_name: open-webui-deepinfra
ports:
- "8080:8080"
environment:
# Existing environment variables
- ENV=production
- DEFAULT_USER_ROLE=pending
- ENABLE_SIGNUP=True
- OPENAI_API_BASE_URLS=https://api.groq.com/openai/v1
- OPENAI_API_KEYS=gsk_...
- ENABLE_OLLAMA=False
- PORT=8080
- WEBSITES_PORT=8080
- WEBSITES_ENABLE_APP_SERVICE_STORAGE=true
- DOCKER_ENABLE_CI=true
volumes:
openwebui_data2:
openwebui_cache:`
Additional Information
A point is created in a qdrant collection called 'open-webui_files' that looks like the following:
Point a7ce8593-14c4-4ff5-b394-aada926362e3 Payload: text test metadata { "source":"test.txt" "name":"test.txt" "created_by":"c5632f3a-7f0d-42e2-9775-774c09a1de28" "file_id":"296df68c-c924-4623-8e64-9c42778c7546" "start_index":0 "hash":"9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd1…" "embedding_config":"{"engine": "openai", "model": "text-embedding-3-la…" } tenant_id file-296df68c-c924-4623-8e64-9c42778c7546@jackthgu commented on GitHub (Jun 17, 2025):
We have confirmed that the Vector DB setup works fine using Qdrant in a Docker environment. Could you please test it in Docker first?
Thank you!
@tjbck commented on GitHub (Jun 17, 2025):
We're unable to reproduce with the description you've provided, could you provide the document you've used as well to rule out the document issue?